Tobias Kirschstein

Artificial Intelligence · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tobias Kirschstein trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Miltiadis Allamanis
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. Oriol Vinyals
  6. Alex Krizhevsky
  7. Ilya Sutskever
  8. Kaiming He
  9. Yann LeCun
  10. Premkumar T. Devanbu

Papers from Tobias Kirschstein's perspective

Ordered by how strongly the researchers Tobias Kirschstein trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers